Adding Science to the Art: How Manufacturers Add More Profit with Price Management Technology
In today’s turbulent manufacturing landscape, where raw material costs and market disruptions squeeze margins, price management is more critical than ever. For manufacturers, revenue generation means earning the highest possible margins while running a sustainable business (i.e., maintaining minimum production volumes and a satisfactory customer retention rate, plus achieving your new customer target goals). Pricing clearly plays a role in this.
Empower your team with price management technology
But one factor can make a key difference between meeting and exceeding your revenue and profit goals—setting the RIGHT price. The art of setting the right price involves a lot more science today than in years past. Analyzing potential product prices and their impact on margins, volumes, and customer reactions can be done using modeling tools with predictive analytics and machine learning to help price analysts hit much closer to the mark than experience and intuition alone. Using an objective and strategic process that involves in-depth analysis empowers your team with a new level of insight into existing conditions and ultimately improves their ability to respond to changes in customer behavior and market dynamics.
Developing a strong pricing practice involves skill, dedication, and tools. Do you have what it takes? The non-profit group ITAC, which is part of the Manufacturing Extension Partnership, conducted a study that found just 61% of the IndustryWeek 500 companies have dedicated pricing titles or roles within their ranks. That means nearly 40% of these industrial enterprises, which represent more than $5 trillion in sales revenues, are passing off pricing responsibilities to staff who were hired to serve in other capacities and may lack the skills—or simply the bandwidth—to succeed at pricing. Without training or time, this can translate to lost revenue because of immature or undeveloped pricing strategies.
Skilling up—and scaling up with a smarter balance of art and science
For price planning to work best, your pricing staff needs skills to analyze:
- Pricing
- Customer behaviors
- Market trends
- Competitive intelligence
- Business operations, including inventory, manufacturing capacity and overall demand
To bring all this capability together, companies may need a team that can pivot quickly and readjust pricing when economic conditions change. An ad hoc or sales-oriented pricing team only sees part of the picture and generally can’t respond as nimbly.
A dedicated team will also have a comprehensive business process to coordinate information and ensure adequate responses to changing business conditions. The ad hoc or siloed team won’t be agile enough—or will assume it’s someone else’s responsibility—leaving you with little ability to evaluate price models and identify the optimal plan for the conditions at hand.
And while one team can bring all the necessary facts to the table and has the skills needed to evaluate optimal pricing, one team cannot manage your full catalog of products in a timely fashion—or even a significant portion of your products. Finding talent with the analytical skills to detect patterns and trends, model customer behavior, determine pricing power and elasticity, and so on, is not only difficult due to their scarcity, but also costly.
Price management technology is transformational
To enable your team to cover more ground more quickly, your business is going to need to combine analytics-driven price management with agile software tools to assist in the discovery of behaviors and trends, as well as recommend price changes where they can have the most effect on profitability. An automated price management solution is crucial for making sure that your manufacturing organization is not missing out on growth opportunities. It also streamlines your ability to protect sales margins, both with upstream commodity pricing and downstream bidding and price management.
Vistex solutions effectively manage complex pricing challenges with ease and reliability, by identifying data patterns and enabling your price management team to get those updated results for the next bid you must approve or submit.
Ultimately, combining analytics-driven price management with agile software tools enables manufacturers to navigate volatility, forecast more accurately, and stay ahead of margin erosion.
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